Using ICT Energy consumption for monitoring ICT architecture
Minovski, Dimitar (2016)
Diplomityö
Minovski, Dimitar
2016
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2016081622763
https://urn.fi/URN:NBN:fi-fe2016081622763
Tiivistelmä
Energy efficient policies are being applied to network protocols, devices and
classical network management systems. Researchers have already studied in depth each of
those fields, including for instance a long monitoring processes of various number of
individual ICT equipment from where power models are constructed. With the development
of smart meters and emerging protocols such as SNMP and NETCONF, currently there is an
open field to couple the power models, translated to the expected behavior, with the realtime energy measurements. The goal is to derive a comparison on the power data between
both of the processes in the direction of detection for possible deviations on the expected
results. The logical assumption is that a fault in the usage of a particular device will not only
increase its own energy usage, but also may cause additional consumption on the other
devices part of the network. A platform is developed to monitor and analyze the retrieved
power data of a simulated enterprise ICT infrastructure. Moreover, smart algorithms are
developed which are aware of the different states that are occurring on each device during
their typical use phase, as well as to detect and isolate possible anomalies. The produced
results are obtained and validated with the use of Cisco switches and routers, Dell Precision
stations and Raritan PDU as part of the monitored infrastructure.
classical network management systems. Researchers have already studied in depth each of
those fields, including for instance a long monitoring processes of various number of
individual ICT equipment from where power models are constructed. With the development
of smart meters and emerging protocols such as SNMP and NETCONF, currently there is an
open field to couple the power models, translated to the expected behavior, with the realtime energy measurements. The goal is to derive a comparison on the power data between
both of the processes in the direction of detection for possible deviations on the expected
results. The logical assumption is that a fault in the usage of a particular device will not only
increase its own energy usage, but also may cause additional consumption on the other
devices part of the network. A platform is developed to monitor and analyze the retrieved
power data of a simulated enterprise ICT infrastructure. Moreover, smart algorithms are
developed which are aware of the different states that are occurring on each device during
their typical use phase, as well as to detect and isolate possible anomalies. The produced
results are obtained and validated with the use of Cisco switches and routers, Dell Precision
stations and Raritan PDU as part of the monitored infrastructure.